👷 Seminar on Machine Learning, Information Retrieval, and Scientific Visualization
doc. RNDr. Petr Sojka, Ph.D.
👷 Seminar on Machine Learning, Information Retrieval, and Scientific Visualization

News

  • From this term on, the course is a regular research seminar in the stated researched areas. It could be enrolled each term. It is mandatory that enrolled student has a presentation on a research topic during the term. Topics of presentations are those focused primarily by the course teacher(s)  and the  Math Information Retrieval@FI group: machine learning, information retrieval, representation learning, and scientific visualization.
  • There is a discussion group with official course information and a communication channel, in addition to the course outline below: watch both frequently!

Topics and Course Outline

Week 1

Join us at A502 the Faculty of Informatics MU on September 15th at 10 AM (CET).

  1. 10:00 Class introduction, warm-up round-up discussion (expectation, topics/expertise/background, suggested presentations, and readings). Bring your research presentation offers and ideas to present, read, study, and discuss!
  2. 10:20 Principles of research communication and scientific work, Reading a scientific paper. Put readers in your place!
    Specifics of CS research and doctoral studies and their evaluation at FI MU: CS conference rankings
  3. 10:30 Importance of "selling the ideas and work", picking the right topics and questions, researching "big issues", picking the right publication forums (in CS and NLP), and h-index as a measure of impact. The danger of Tyranny of metrics.
  4. 10:40 Motivating video: DEK's advice to young students.
  5. 10:45 Schedule of talks this term, topics to cover.
  6. 11:10 Varia, socializing (team builder wanted!), lunch.


Week 2  Denča Šrámková [+ Jakub Ryšavý konzultace]

Join us in room A502 at FI MU on September 22 at 10 AM (CET).

Chapter contains:
2
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1
Study text
Teacher recommends to study from 17/9/2022 to 22/9/2022.

Week 3 – Marek Kadlčík

Join us in room A502 at FI MU on September 30 at 10 AM (CET).

Chapter contains:
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1
PDF
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Study text
3
Web
Teacher recommends to study until 29/9/2022.

Week 4 – Mikuláš Bankovič

Join us in room A502 at FI MU on October 7 at 10 AM (CET) [or on Zoom.]

Chapter contains:
3
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1
PDF
1
Video
1
Study text
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Web
Teacher recommends to study from 29/9/2022 to 7/10/2022.

Week 5 – Vlastimil Martinek

Join us in room A502 at FI MU on October 14 at 10 AM (CET) [or on Zoom.]

Chapter contains:
1
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1
PDF
1
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Study text
Teacher recommends to study from 7/10/2022 to 15/10/2022.

Week 6 – Dávid Meluš

Join us in room A502 at FI MU on October 20 at 10 AM (CET) [or on Zoom.]

Chapter contains:
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Study text
Teacher recommends to study from 13/10/2022 to 21/10/2022.

Week 7 – Time to rest

Week 8 – Martin Geletka

Join us in room A502 at FI MU on November 3 at 10 AM (CET) [or on Zoom.]

Chapter contains:
1
PDF
1
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Study text
Teacher recommends to study from 27/10/2022 to 3/11/2022.

Week 9 – Šárka Ščavnická 

Join us in room A502 at FI MU on November 10 at 10 AM (CET) [or on Zoom.]

Chapter contains:
1
PDF
1
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1
Study text
Teacher recommends to study from 1/11/2022 to 10/11/2022.

Week 10 – State Holiday (17.11.)


Week 11 – Jakub Ryšavý

Join us in room C522 at FI MU on November 24 at 10 AM (CET) [or on Zoom.]

Chapter contains:
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PDF
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Study text
2
Web
Teacher recommends to study from 17/11/2022 to 24/11/2022.

Week 12 – David Čechák

Join us in room A502 at FI MU on December 1 at 10 AM (CET) [or on Zoom.]

Chapter contains:
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1
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Teacher recommends to study from 24/11/2022 to 2/12/2022.

Week 13

No teaching.

Week 14 – Christmas party

Join us in room A502 at FI MU on December 15 at 10 AM (CET) (no Zoom, sorry).

Chapter contains:
1
Study text
Teacher recommends to study from 7/12/2022 to 16/12/2022.

Tips for readings, discussions, and presentation preparations:

  1. Top2Vec towardsdatascience.com/top2vec-new-way-of-topic-modelling 
  2. How to speak by Patrick Winston (youtube video)

Žákovi, který se hrozil chyb, Mistr řekl: "Ti, kdo nedělají chyby, chybují nejvíc ze všech – nepokoušejí se o nic nového." Anthony de Mello: O cestě

To a student who was in danger, the Master said: "Those who do not make mistakes most of all – they do not try anything new." Anthony de Mello

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